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@inproceedings{
 title = {A Hybrid algorithm applied to facility location for forest fire fighting considering budget constraints},
 type = {inproceedings},
 year = {2013},
 pages = {262-267},
 websites = {http://ieeexplore.ieee.org/document/6676055/},
 month = {9},
 publisher = {IEEE},
 id = {92f98e75-3593-39c6-ab77-96710d0d13cb},
 created = {2022-08-29T17:42:47.368Z},
 file_attached = {false},
 profile_id = {940dd160-7d67-3a5f-b9f8-935da0571367},
 group_id = {92fccab2-8d44-33bc-b301-7b94bb18523c},
 last_modified = {2022-08-29T17:42:47.368Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {This paper develops an integrated system for forest fire fighting facility location. We propose a mathematical model to deploy available fire fighting resources in proper positions so that any forest fire can be attacked within a specified response time. The proposed model considers budget constraints. This location problem is a variant of the well-known Maximal Covering Location Problem (MCLP) which is known to be NP-hard. We propose a hybrid algorithm that combines GRASP and Tabu Search procedures. According to preliminary computational experiments the hybrid algorithm provides good quality solutions with a reasonable amount of computer effort. This solution can give support to the decision maker for determining the location of fire-fighting resources. © 2013 IEEE.},
 bibtype = {inproceedings},
 author = {Diaz-Romero, M. A. and Alarcon-Aquino, V. and Diaz-Garcia, J. A.},
 doi = {10.1109/ICEEE.2013.6676055},
 booktitle = {2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)}
}